Elk, Prometheus, Bash, Grafana, Gcp, Docker, Azure, Kubernetes, Python, AWS, Triton Inference Server, TensorRT, MLflow, DVC, GPU scheduling

Advanced Python development, CI CD lifecycle management

Devops, MLops, Gcp, Docker, Databricks, Azure, Kubernetes, AWS, Airflow, MLflow, Kubeflow, ML engineering

Docker, Kubernetes, Python, Tensorflow, AWS, CI/CD

Tensorflow, Pytorch, Cloud Services, Python, ML Ops

Python, AI ML testing, CI CD pipelines, MLOps best practices, Automated testing in DevOps environments, Large-scale distributed AI systems

Github, Python Scripting, Apache Airflow, Devops, Terraform, AWS, Air Flow, Infrastructure as Code, ML Flow, MLflow, Ray, Kubernetes EKS, ML Ops Frameworks

AWS EKS, FastAPI, Kubernetes, Python, Celery, Sqlalchemy, Airflow, Claude API, confidence calibration techniques, Pydantic, LLM output validation frameworks, embedding models, Weaviate, pgvector, Pinecone, semantic search, RAG context

data engineering , Ml, FastAPI, Kubernetes, Python, AWS EKS, Nlp, Celery, Sqlalchemy, confidence calibration techniques, Airflow, Claude API, vector database, Ai, Pydantic, LLM output validation frameworks, embedding models, Weaviate, pgvector, semantic search, data ingestion pipelines, Pinecone, LLM evaluation frameworks, prompt engineering